Learning with Linear Classifiers Course
Course Overview

In this course, you are introduced to and implement the Perceptron algorithm, a linear classifier that was developed at Cornell in 1957. Through the exploration of linear and logistic regression, you will learn to estimate probabilities that remain true to the problem settings. By using gradient descent, we minimize loss functions. Ultimately, you will apply these skills to build a email spam classifier.

The courses Problem-Solving with Machine Learning and Estimating Probability Distributions are required to be completed prior to starting this course.

Who should enroll in this course?
  • Programmers
  • Developers
  • Data analysts
  • Statisticians
  • Data scientists
  • Software engineers
Machine Learning Certificate